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Super Collection of AI Marketing Statistics


This one-of-a-kind super collection of AI Marketing Statistics will save you time researching for your next piece of content because you won’t have to sift through irrelevant AI statistics categories in other articles.

The marketing AI statistics will be updated over time and are arranged by marketing category and year. The data is collected from multiple reliable sources and carefully analyzed to ensure the most up-to-date information is provided.

These artificial intelligence stats are especially useful for digital marketing leaders and marketing teams to quickly find the data needed to educate their audience and make business decisions.

Let’s jump right in…

AI Industry Marketing Statistics

2017
In 2017, the market for AI in marketing was valued at $5 Billion USD, with a trajectory to $40.09 Billion USD by 2025, at a CAGR of 29.79% in 8 years (MarketsandMarkets)

2018
Between 2018 and 2025, AI use cases in marketing will have the biggest CAGR in the Asia Pacific region. AI is increasingly being used in sectors such as retail, BFSI, enterprise, media, and advertising primarily in countries such as China, Japan, South Korea, and Australia.

2021
In 2021, the market for artificial intelligence (AI) in marketing was estimated at 15.84 billion U.S. dollars. The source projected that the value would increase to more than 107.5 billion by 2028. [Statista]

The value of AI in marketing will reach $48.8 Billion USD by 2030, and will grow at a compound annual growth rate (CAGR) of 28.6% [Market Research Future]

2022
79% of marketers said AI technology will impact marketing in the future [Drift Leadership report]

$1.4 Trillion to $2.6 Trillion economic potential increase on Marketing and sales across all industries [Mckinsey Global Institute]

82% of marketers conclude that AI and machine learning will shape the future of marketing and it will enhance the recognition of potential clients and overall marketing efficiency

By 2030, 70% of companies are likely to adopt some form of AI technology [Mckinsey Global Institute]

AI Marketing Budgets

2022

  • 46% of respondents said their marketing team is working to boost sales while reducing expenses.
  • 43% said they were focused on increasing revenue
  • 8% percent of respondents claimed that cost-cutting was their only priority
    [Drift, State of Marketing Report]

19.2% of marketers responded that they spend 40% of their marketing budget on AI-driven campaigns [Influencer Marketing Hub]

Scaling Marketing with Artificial Intelligence

2022

Marketer Artificial Intelligence Usage

2019

22% of marketers used AI in 2019 and 57% more marketers were predicted in the next two years [Salesforce, State of Marketing, 5th edition]

2020

2022

Only 15% of content marketers plan on using AI [Content Marketing Institute/MarketingProfs]

61.4% of marketers have used AI in their marketing activities [Influencer Marketing Hub]

44.4% of marketers used AI for content production [Influencer Marketing Hub]

32.8% of marketers most frequently use Jasper.ai [Influencer Marketing Hub]

64% of marketing businesses use toolkits with AI technology

Marketers say that using AI reduces call time by 70%

Marketing Automation + Artificial Intelligence

2022

According to a February 2022 study by [Statista], this is how leading industries use marketing automation with artificial intelligence.

Paid advertising: 32%
Personalizing email messages/offers: 32%
Product/content recommendations: 22%
Personalizing email subject lines: 22%
Predictive analytics: 18%
Account identification: 18%
Chatbots: 16%
Campaign send/deployment timing: 16%
Segmentation: 12%


A group of surveyed marketing professionals from the US, UK, India, and Canada said that they trust AI in the following categories:

Target ads: 47%
Personalize content and offers in real-time: 42%
Optimize email send time: 39%
Calculate conversion probability: 37%
Optimize email subject line: 33%
Conduct a live chat session: 32%
Score leads: 30%
Write subject lines: 22%
Write copy: 21%

Influencer Marketing + Artificial Intelligence

2022

More than 60% of marketers plan to use AI or machine learning in their influencer campaigns [Influencer Marketing Hub]

Top AI Use Cases for B2B Marketers

2022

1. Improve customer segmentation/
lookalike audience modeling
2. Personalize individual channel experiences
3. Surface data insights
4. Drive the next best actions in real-time
5. Personalize the overall customer journey
[Salesforce, State of Marketing]

Top AI Use Cases for B2C Marketers


2022

1. Personalize individual channel experiences
2. Surface data insights
3. Drive the next best actions in real-time
4. Automate customer interactions over social
channels or messaging apps
5. Improve customer segmentation/lookalike
audience modeling
[Salesforce, State of Marketing]

Marketers’ Skill Level with Artificial Intelligence


2022

  • 41.9% of marketers haven’t used AI because they don’t understand it yet
  • 23.7% of marketers blamed the high cost of implementation on not using AI
    [Influencer Marketing Hub]

Evaluating Artificial Intelligence Marketing Tech


2022

54.5% of marketers are optimistic that AI will more than likely augment their marketing efforts [Influencer Marketing Hub]

71% of marketers believe that AI can outperform humans at their jobs [Influencer Marketing Hub]

Marketing Profits from Artificial Intelligence

2020

  • Between 10% – 43% of revenue was gained before interest and taxes
  • AI adoption decreased marketing costs by 10-20% on average
    [Mckinsey Global Survey]

Marketing Personalization + AI


2019

45% of retailers are either planning or have already implemented AI to improve multichannel customer engagement as a core part of their marketing mix [Statista}

Personalizing the overall customer experience and driving the next best offers in real-time are the two most common ways marketing leaders are using AI today [Salesforce]

Improving customer segmentation, advertising, media buying, and channel personalization are the next fastest-growing areas of AI adoption in marketing today [Salesforce]

2022

  • 56% of consumers expect each interaction with a brand or vendor to be customized
  • 47% of B2C consumers believe brands could better match their engagement activities with their preferences
    [IBM]

The growing use of AI conversational marketing solutions to engage with clients and prospects is due to the fact that 71% of customers expect businesses to communicate with them in real-time. [IBM]

Only 17% of digital marketing leaders use AI or machine learning throughout their departments, despite the fact that 63% of them struggle with personalization. [Gartner]

84% of digital marketing executives said that using AI and machine learning improves the ability of marketing to provide clients with personalized, real-time experiences

Out of 62.2% of surveyed companies, B2B service companies are the top users of AI for content personalization [CMOs Top Uses for AI]

Artificial intelligence and VR/AR


2022

B2B product companies use AI for augmented and virtual reality, facial recognition, and visual search more than any other kind of business [CMOs Top Uses for AI]

Marketing and Sales Function + AI


2022

21% of sales leaders collaborate with marketing teams using shared AI applications

Advertising + Artificial Intelligence


2018

Marketers and agencies are most comfortable with AI-enabled bid optimization for media buying, followed by fraud mitigation [Statista]

2019

More than 80% of marketers think that AI will continue to be an impactful trend in advertising [Leftronic]

Email Marketing + AI


2019

More than 41% of marketers say AI is enabling them to generate higher revenues from email marketing

  • 13% increase in click-through rates
  • 7.64% increase in open rates
    [Statista]

2022

Research shows that using AI in email marketing significantly increases revenue, click-through, and open rates [SEMrush]

Marketing Strategy and Decision-Making with AI


2022

70% of top-performing marketers have a complete AI strategy
[Drift, State of Marketing Report]

42.2% of marketers think that if AI or machine learning took over marketing operations, then high-level strategy and decision-making tasks would be up to humans [Influencer Marketing Hub]

  • 61.4% of marketers have used AI for marketing operations
  • 36.6% have not used AI for marketing operations
    [Influencer Marketing Hub]

Marketing with AI and Job Security


2022

  • 35.6% of marketers are worried that increased use of AI could result in them losing their job
  • 35.6% of marketers don’t think it will cause them to be unemployed
  • 28.8% of marketers think it might be a threat to their job but are not sure
    [Influencer Marketing Hub]

Marketing AI Tools


2023

There are 978 marketing-related AI tools in over 50 categories such as:

Productivity: 75 tools
Life assistant: 70 tools
Fun: 64 tools
Low-code/no-code: 58 tools
Search engine: 52 tools
Copywriting: 50 tools
Social media assistant: 45 tools
General writing: 43 tools
Sales: 42 tools
[Futurepedia]

Summary

The total global AI market is growing at a rapid pace, and it’s no different in the marketing industry. Marketers must embrace new AI technologies and begin to implement them so that their businesses don’t fall behind competitors that are reaping all of the benefits. The artificial intelligence statistics presented in this resource are a testament to the growing demand for AI-powered tools for marketing pros.

FAQ

What is artificial intelligence (AI) in marketing?

Artificial intelligence in marketing is a generalized term for technologies and methods intended to make computers smart enough to perform marketing functions, with artificial intelligence machine learning being the main driving factor.

Machine learning is the process of predicting future results based on past data. The secret to machine learning is that computers become smarter and their predictions improve without human involvement.

Watch this Hubspot marketing video that explains this question in an easy-to-understand way.

How many marketers are using AI?

According to the most recent studies from Statista, more than 80% of digital marketing professionals incorporate some form of AI technology into their online marketing activities.

How to design an AI marketing strategy?

Building or purchasing basic rule-based applications is a smart place to start for firms with limited AI expertise. Once a company has fundamental AI abilities and a large amount of client and market data, it can begin to transition from task automation to machine learning.

As businesses become more advanced in their use of marketing AI, many completely automate certain kinds of choices, effectively removing people from the equation. This method is critical when making repeated, high-speed choices, such as those needed for programmatic ad purchasing (where digital advertisements are delivered almost instantly to users).

How is natural language processing used in digital marketing?

Making better decisions is made possible by natural language processing [NLP], which is frequently used to qualitatively comprehend the “why” and “what” of a situation. Using NLP in marketing analytics, you can understand the intentions of your target audience to create smarter, more successful marketing strategies.

Large data sets from various sources, including websites, social media, customer data, and more, can be analyzed using NLP to assist. 

After that, you can determine the keywords, motives, and sentiments. 

Additionally, keyword detection can create a shortlist of trending words from your text data and compare it to your existing SEO keyword shortlist.

References:
imeanmearking: AI marketing statistics
BusinessSolution.org: AI marketing statistics 2023 [adoption, use cases, market size]
InfluencerMarketingHub.com: AI Marketing Benchmark Report 2023
Forbes: 10 Charts that will change your perspective of AI
Harvard Business Review: How to Design an AI Marketing Strategy

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